org.apache.kafka.clients.consumer.RoundRobinAssignor Maven / Gradle / Ivy
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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.kafka.clients.consumer;
import org.apache.kafka.clients.consumer.internals.AbstractPartitionAssignor;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.utils.CircularIterator;
import org.apache.kafka.common.utils.Utils;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.SortedSet;
import java.util.TreeSet;
/**
* The round robin assignor lays out all the available partitions and all the available consumers. It
* then proceeds to do a round robin assignment from partition to consumer. If the subscriptions of all consumer
* instances are identical, then the partitions will be uniformly distributed. (i.e., the partition ownership counts
* will be within a delta of exactly one across all consumers.)
*
*
For example, suppose there are two consumers C0
and C1
, two topics t0
and t1
,
* and each topic has 3 partitions, resulting in partitions t0p0
, t0p1
, t0p2
,
* t1p0
, t1p1
, and t1p2
.
*
*
The assignment will be:
*
* C0: [t0p0, t0p2, t1p1]
* C1: [t0p1, t1p0, t1p2]
*
*
* When subscriptions differ across consumer instances, the assignment process still considers each
* consumer instance in round robin fashion but skips over an instance if it is not subscribed to
* the topic. Unlike the case when subscriptions are identical, this can result in imbalanced
* assignments. For example, we have three consumers C0
, C1
, C2
,
* and three topics t0
, t1
, t2
, with 1, 2, and 3 partitions, respectively.
* Therefore, the partitions are t0p0
, t1p0
, t1p1
, t2p0
, t2p1
, t2p2
.
* C0
is subscribed to t0
;
* C1
is subscribed to t0
, t1
;
* and C2
is subscribed to t0
, t1
, t2
.
*
*
That assignment will be:
*
* C0: [t0p0]
* C1: [t1p0]
* C2: [t1p1, t2p0, t2p1, t2p2]
*
*
* Since the introduction of static membership, we could leverage group.instance.id
to make the assignment behavior more sticky.
* For example, we have three consumers with assigned member.id
C0
, C1
, C2
,
* two topics t0
and t1
, and each topic has 3 partitions, resulting in partitions t0p0
,
* t0p1
, t0p2
, t1p0
, t1p1
, and t1p2
. We choose to honor
* the sorted order based on ephemeral member.id
.
*
* The assignment will be:
*
* C0: [t0p0, t1p0]
* C1: [t0p1, t1p1]
* C2: [t0p2, t1p2]
*
*
* After one rolling bounce, group coordinator will attempt to assign new member.id
towards consumers,
* for example C0
-> C5
C1
-> C3
, C2
-> C4
.
*
* The assignment could be completely shuffled to:
*
* C3 (was C1): [t0p0, t1p0] (before was [t0p1, t1p1])
* C4 (was C2): [t0p1, t1p1] (before was [t0p2, t1p2])
* C5 (was C0): [t0p2, t1p2] (before was [t0p0, t1p0])
*
*
* This issue could be mitigated by the introduction of static membership. Consumers will have individual instance ids
* I1
, I2
, I3
. As long as
* 1. Number of members remain the same across generation
* 2. Static members' identities persist across generation
* 3. Subscription pattern doesn't change for any member
*
* The assignment will always be:
*
* I0: [t0p0, t1p0]
* I1: [t0p1, t1p1]
* I2: [t0p2, t1p2]
*
*/
public class RoundRobinAssignor extends AbstractPartitionAssignor {
public static final String ROUNDROBIN_ASSIGNOR_NAME = "roundrobin";
@Override
public Map> assign(Map partitionsPerTopic,
Map subscriptions) {
Map> assignment = new HashMap<>();
List memberInfoList = new ArrayList<>();
for (Map.Entry memberSubscription : subscriptions.entrySet()) {
assignment.put(memberSubscription.getKey(), new ArrayList<>());
memberInfoList.add(new MemberInfo(memberSubscription.getKey(),
memberSubscription.getValue().groupInstanceId()));
}
CircularIterator assigner = new CircularIterator<>(Utils.sorted(memberInfoList));
for (TopicPartition partition : allPartitionsSorted(partitionsPerTopic, subscriptions)) {
final String topic = partition.topic();
while (!subscriptions.get(assigner.peek().memberId).topics().contains(topic))
assigner.next();
assignment.get(assigner.next().memberId).add(partition);
}
return assignment;
}
private List allPartitionsSorted(Map partitionsPerTopic,
Map subscriptions) {
SortedSet topics = new TreeSet<>();
for (Subscription subscription : subscriptions.values())
topics.addAll(subscription.topics());
List allPartitions = new ArrayList<>();
for (String topic : topics) {
Integer numPartitionsForTopic = partitionsPerTopic.get(topic);
if (numPartitionsForTopic != null)
allPartitions.addAll(AbstractPartitionAssignor.partitions(topic, numPartitionsForTopic));
}
return allPartitions;
}
@Override
public String name() {
return ROUNDROBIN_ASSIGNOR_NAME;
}
}